Willi Sauerbrei

Statistics and Probability · 2005–2019

A researcher in the Science corpus: 11 papers; trusts 23 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 65 citations into it; #3,276 of 12,932 by trust here, #1,366 by citations
• Economics and Econometrics — 16 citations into it
• Management Science and Operations Research — 7 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Willi Sauerbrei trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Patrick Royston
2. Douglas G. Altman
3. Alan Y. Chiang
4. Jr. Frank E. Harrell
5. Leo Breiman
6. G. Ambler
7. Anthony B. Atkinson
8. David Moher
9. Robert Tibshirani
10. K. F. Schulz

Who trusts Willi Sauerbrei overall

1. Douglas G. Altman
2. Patrick Royston
3. Karel G. M. Moons
4. Ewout W. Steyerberg
5. Lisa M. McShane
6. Georg Heinze
7. Yi Fan
8. Ian R. White
9. D. Heyland
10. L. Desquilbet

Papers from Willi Sauerbrei's perspective

Ordered by how strongly the researchers Willi Sauerbrei trusts endorse each paper. Same corpus, a different order for every researcher.

1. Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias (PLoS ONE)
2. The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (Annals of Internal Medicine)
3. Bagging Predictors
4. Spline Models for Observational Data
5. Dichotomizing continuous predictors in multiple regression: a bad idea (Statistics in Medicine)
6. Heuristics of instability and stabilization in model selection
7. The Elements of Statistical Learning
8. On the practice of dichotomization of quantitative variables. (Psychological methods)
9. Negative Consequences of Dichotomizing Continuous Predictor Variables
10. Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs (Computational Statistics & Data Analysis)

Their papers

• Dichotomizing continuous predictors in multiple regression: a bad idea (2006) — 2,276 citations
• Selection of important variables and determination of functional form for continuous predictors in multivariable model building (2007) — 1,050 citations
• Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs (2006) — 351 citations
• REporting recommendations for tumour MARKer prognostic studies (REMARK) (2005) — 764 citations
• Reporting recommendations for tumor marker prognostic studies. (2005) — 808 citations
• Cross-Validation, Shrinkage and Variable Selection in Linear Regression Revisited (2013) — 51 citations
• A review of spline function procedures in R (2019) — 512 citations
• Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration (2012) — 879 citations
• Bootstrap Assessment of the Stability of Multivariable Models (2009) — 75 citations
• Multivariable Model-Building: A Pragmatic Approach to Regression Analysis based on Fractional Polynomials for Modelling Continuous Variables (2008) — 865 citations
• Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. (2005) — 7,387 citations